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CitationsCitations0ReferencesReferences43Article · Jan 1994 Article · Jan 2003 Article · Jan 2012 · Journal of HydrologyArticle · Jan 2005 · Journal of HydrologyArticle · Jan 2014 ABSTRACT: A Snowmelt Runoff Model (SRM) is used to simulate streamflow from snowmelt in the Buha watershed within the Qinghai Lake basin for the hydrologic years
(from September to August). Two different precipitation products are used as inputs to examine the model and their performances: station measured precipitation and gridded APHRODITE-precipitation, with two different snow cover products, namely, flexible multiday combined MODIS Terra-Aqua (MODISMC) maps, and the standard MODIS/Terra 8-day composite (MOD10A2) product. Results show that the MODISMC product with a higher temporal resolution of 2.2 days obtains slightly small bias in runoff volumes than MOD10A2 does for basin- and zone-wide simulations. The average Nash-Sutcliffe coefficient of determination (R-2) is 0.73 (0.70-0.75) for basin- and zone-wide simulations. The simulated runoff with APHRODITE-precipitation is well correlated with measured runoffs (R-2 = 0.76). The multivariate regression analysis indicates that lake level changes are significantly associated (95% level) with the following single variables: measured runoff discharge from the Buha watershed (R-m), simulated runoff (R-s), simulated runoff fraction from rainfall (R-s-rainfall), the snow cover area at zone B of the Buha watershed, or with a combination of multivariates: R-s-rainfall + P-L (precipitation over the lake) and R-m + P-L + Evaporation. These results suggest that precipitation plays a dominant role in lake level variations. Snowmelt contributed runoff shows no significant contribution to lake level variation (13% of the total runoff). This study suggests that APHRODITE-precipitation data can be used for snowmelt simulations and water resource management on the Tibetan Plateau where precipitation gauges are limited, and that the SRM is an effective tool for estimating snowmelt discharge and water resource management in high mountain regions. Full-text · Article · Aug 2014
· DataMay 2016+2 more authors…ArticleApril 2016 · Journal of Arid Land · Impact Factor: 0.93+2 more authors…Changes in the status of freshwater resources are a topic of major global, regional and local concern. This is especially so in the arid and semi-arid regions of China, where shortage of water resources plays a crucial role in limiting sustainable socioeconomic development, as well as in sustaining natural ecosystems. Recent climate change, as well as the effects of localized human activity,... ArticleSeptember 2015 · Water Resources Research · Impact Factor: 3.55+2 more authors…Lake water storage change (DSw) is an important indicator of the hydrologic cycle and greatly influences lake expansion/shrinkage over the Tibetan Plateau (TP). Accurate estimation of DSw will contribute to improved understanding of lake variations in the TP. Based on a water balance, this study explored the variations of DSw for the Lake Selin Co (the largest closed lake on the TP) during... ArticleAugust 2015 · Water · Impact Factor: 1.43Long-term observations of lake water level are essential to our understanding of the evolution of Tibetan lake system. CryoSat-2 radar altimetry data over the Tibetan Plateau (, P2) is used to extend lake level measurements from ICESat laser altimetry (, P1). This study evaluates the performance of CryoSat-2 data by comparing with gauge-based water levels that are calibrated... Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.This publication is from a journal that may support self archiving.您的位置： &
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优质期刊推荐A class of Markov chains for solutions and data simulation and application--《Journal of Hubei Normal University(Natural Science)》2009年03期
A class of Markov chains for solutions and data simulation and application
WU Jia-rong,XIE Ming-duo,HE Sui(College of Mathematics and Statistics,Huazhong Normal University,Wuhan 430079,China)
Use Markov chain and its history of the development and the theorem.Study a particle movement on the Vertex of an n-Vertex polyhedron' transition probability matrix,and culmulate the probability to be the limit of the transfer matrix elements are 1/n.Use of theorem 2 find the average number of steps that the particles return to the starting point for the first time is n,as well as the particle in return for the first time after take-off point for point-average number is 1.The last for a octahedron,randomly generated by computer simulation data,to be The results coincide with the theorem,which further verified the correctness of the theorem.At last use this study the problem of optimizing the production structure.
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